Dialog Flow

Action block allows you to integrate a conversational user interface into your chatbot

The Action Block enables you to integrate a conversational user interface into your chatbot, allowing for dynamic interactions and seamless user engagement.

Dialogflow is a Natural Language Processing (NLP) engine that simplifies the design and integration of conversational user interfaces into mobile applications, web applications, devices, bots, interactive voice response (IVR) systems, and more.

Use-case scenario:

You can use Dialogflow when:

• Connecting your Dialogflow agent to Replycx.

• Building a smart bot to interpret visitor inputs.

• Creating AI-powered bots for enhanced interactions.

How do I integrate Replycx with DialogFlow?

Setting up the integration between Replycx and Dialogflow is a two-step process:

1. Obtain the JSON key for the Dialogflow agent you want to connect to Replycx.

2. Configure the JSON key in the Dialogflow Action Block on Replycx.

How do I set it up?

To set up the Dialogflow Action Block in the bot flow, follow these steps:

1. Add the Action Block

• Click on ‘+’ to add an action block on the canvas.

• Select ‘Dialogflow’ from the list.

2. Configure the Dialogflow Block

• Double-click on the ‘Dialogflow’ block to open the configuration panel on the right.

3. Map the Variable

• Choose the variable where the visitor’s input is stored.

• Just like answering a question requires a question, sending an input to Dialogflow allows it to process and return the appropriate response to Replycx.

4. Upload the JSON File

• Upload the JSON key that was downloaded earlier.

Define Actions

• Configure actions for Success and Failure scenarios:

• Success: When Dialogflow successfully matches an intent and returns a response, you can either loop back to the same block or proceed to the next step.

• Failure: If Dialogflow fails to provide a valid response, define an action to handle the scenario. This may involve requesting the input again and looping back into the flow.